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Evening Remote Robotics Engineer Jobs in California

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Field Robotics Technician

Oakland, CA · On-site +1

$35 - $45/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Field Robotics Technician Oakland, CA Preferred - Remote Ok Full-time - 80% Travel Energy is the ... We're expanding our team of ambitious, curious, and hands-on engineers and operators who want to ...

Senior Software Engineer

Mountain View, CA · On-site +1

$170K - $230K/yr

We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

Senior Manager, Simulation

Fremont, CA · On-site +1

$208K - $324K/yr

... humanoid robots, and we're looking for an engineering leader to build the simulation team to own ... fully remote, with up to one week of travel per month. The final salary offered to a successful ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

UX/UI Designer

Fremont, CA · On-site +1

$128K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... robotic systems. You will work closely with engineers, product managers, and researchers to ... This is a remote-friendly role with a preference for candidates located near one of our offices for ...

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... An advanced degree in Engineering, Computer Science, Robotics, or other relevant technical field OR ...

Sr. RPA Engineer - Remote

Calabasas, CA · Remote

$95K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Sr. RPA Engineer is responsible for designing, developing, testing, implementing, and supporting robotic process automation solutions that improve efficiency, accuracy, and scalability across ...

Systems Architect

Mountain View, CA · On-site +1

$190K - $300K/yr

We are a team of mission-driven engineers with experience across aerospace, robotics and self ... This role can be remote, or located at our facility in Mountain View, California. Must be willing ...

Technical Support Engineer

San Francisco, CA · On-site +1

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Are you a self-driven problem solver passionate about advancing robotics technology? Join our team ... Remote work is not an option. * The position is available immediately. We may use artificial ...

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... and RPA stack, with real exception-handling and audit requirements. You will work at the ...

Technical Support Engineer

San Francisco, CA · On-site +1

$100K - $160K/yr

Are you a self-driven problem solver passionate about advancing robotics technology? Join our team ... Remote work is not an option. * The position is available immediately. We may use artificial ...

Showing results 21-40

Evening Remote Robotics Engineer information

What is the difference between Evening Remote Robotics Engineer vs Remote Automation Technician?

AspectEvening Remote Robotics EngineerRemote Automation Technician
CredentialsBachelor's in Robotics, Engineering, or related field; certifications like FANUC or ABBAssociate's or Bachelor's in Automation, Electronics, or related field; similar certifications
Work EnvironmentRemote, often during evening shifts; involves programming and troubleshooting robotics systemsRemote or on-site; focuses on maintaining and troubleshooting automation equipment
Industry UsageManufacturing, robotics companies, tech firmsManufacturing, industrial automation, facilities management

The Evening Remote Robotics Engineer primarily focuses on programming and developing robotic systems during evening hours, often requiring advanced technical skills and certifications. In contrast, the Remote Automation Technician handles maintenance and troubleshooting of automation equipment, with a broader focus on operational support. Both roles are remote, but their core responsibilities and industry applications differ slightly, catering to different aspects of automation and robotics management.

What are the most commonly searched types of Remote Robotics Engineer jobs in California?

The most popular types of Remote Robotics Engineer jobs in California are:

What cities in California are hiring for Evening Remote Robotics Engineer jobs?

Cities in California with the most Evening Remote Robotics Engineer job openings:

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 5 days ago


Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do
  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart
  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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